Context
Peer-reviewed EMNLP Industry research describes a lightweight source-grounding pipeline that checks extracted evidence against retrieved documents before generation. On roughly 500 enterprise queries, the authors report improved gold-source hits and no citations to non-retrieved URLs.
What changed
EvidenT combines structured passage extraction and deterministic lexical alignment to verify evidence and reduce citation drift without retraining models, with measured outcomes against prompting baselines.
Why it matters
AI answer citations can drift from retrieved evidence. Source-grounding verification is a distinct stage between retrieval and final citation display, relevant to trustworthy discovery measurement.
Visibility OS interpretation
Visibility OS interpretation: citation share should be analyzed alongside whether cited URLs were actually retrieved and whether answer passages align with the cited evidence; lexical coverage alone is not semantic proof.
What remains uncertain
How robust is the method outside the tested enterprise corpus? Can lexical checks detect paraphrased but unsupported assertions? Do commercial AI search systems use similar verification?